Data sets v.1.1 for Perspective: SARS-CoV-2 may regulate cellular responses through depletion of specific host miRNAs

<p>The list of potential (bioinformatic predictions) interactions&nbsp;of human miRNA with&nbsp;7 coronavirus genomes that include 3 pathogenic&nbsp;and 4 non-pathogenic coronaviruses. (<strong>Data Set 1</strong>).&nbsp;<em>The HCoVs&#39; RNA genomes of pathogenic strains were SARS-CoV-2 (NC_045512.2), SARS-CoV (NC_004718.3), MERS-CoV (NC_019843.3). </em>The non-pathogenic strains were HCoV-OC43 (KU131570.1), HCoV-229E (NC_002645.1), HCoV-HKU1 (KF686346.1), and HCoV-NL63 (NC_005831.2). These coronaviruses were tested against the set of 896 confident mature human miRNA sequences that were obtained from the miRBbase v2.21 using the RNA22 v2 microRNA target discovery tool web-server. In order to reduce the false discovery rate of the MTS predictions, the most strict parameters were applied to the default computation workflow using a specificity of 92% versus a sensitivity of 22%.</p> <p><strong>Data set 2.</strong>&nbsp;&nbsp;The potential targets of miRNA that could be bound to either the pathogenic, the non-pathogenic or both groups of HCoVs. Predicted&nbsp;base on miRDIP database (with only top 1% of the most probable targets considered),</p> <p><strong>Data set 3.&nbsp;</strong>&nbsp;Pre-miRNA sequences in the&nbsp;<em>SARS-CoV-2</em>&nbsp;RNA sequence that could potentially enter the human RNAi pathway, base on&nbsp;miRNAFold webserver.</p>